Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Tasks
- Build machine learning models
- Collaborate with data engineering teams
- Conduct causal inference studies
- Deploy machine learning models
- Design machine learning models
- Develop predictive models
- Engineer features for models
- Ensure responsible use of customer data
- Establish experimentation frameworks
- Evaluate model performance
- Improve modeling standards
- Monitor machine learning models
- Monitor model performance in production
- Perform A/B testing
- Productionize models with data pipelines
- Translate analytics into business recommendations
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amplitude | B testing | Causal Inference | Churn Prediction | Customer Lifetime Value | Data Pipelines | Feature Engineering | Feature Store | GDPR | Generative AI | Hypothesis Testing | Lifetime Value | MLOps | Machine Learning | Mixpanel | NLP | Predictive Modeling | Propensity Modeling | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | SQL | Scikit-learn | Segment | Statistics | TensorFlow | Uplift Modeling
Education
N/A
Roles
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